class_docstr: term_scorer = (MannWhitneyU(corpus).set_categories('Positive', ['Negative'], ['Plot']))
  
  html = st.produce_frequency_explorer(
      corpus,
      category='Positive',
      not_categories=['Negative'],
      neutral_categories=['Plot'],
      term_scorer=term_scorer,
      metadata=rdf['movie_name'],
      grey_threshold=0,
      show_neutral=True
  )
  file_name = 'rotten_fresh_mwu.html'
  open(file_name, 'wb').write(html.encode('utf-8'))
  IFrame(src=file_name, width=1300, height=700)
code: def get_scores(self, *args):
      return self.get_score_df()["mwu_z"]
  
file_path: scattertext/scattertext/termscoring/MannWhitneyU.py
imports: import pandas
  import numpy
  from scipy.stats import norm, mannwhitneyu, ranksums
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
label_desc: Use image node_id 2 for calling the MannWhitneyU obj's underlying member method code with example usage: obj.get_scores() and returns: self